Understanding the role of key determinants towards realizing food insecurity amongst the rural households: A case from Bajhang and Morang districts of Nepal

N. Bastakoti, S. Bhattarai
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引用次数: 1

Abstract

Food insecurity is one of the single largest determinants to challenge Nepal from realizing its ambition of graduating to a developing country. In line with the imminent national challenge, this study has tried to delve into the real-time findings from the rural part of the country to understand the crucial determinants of food insecurity. A household (HH) level survey with a sample size of 502 was adjudged using Krejcie and Morgan (1970) method. Semi-structured HH survey was administered to collect the socio-economic status of the respondent. Household Food Insecurity Access scale (HFIAS) was used to assess HHs food insecurity, whereas poverty status was assessed using the multidimensional poverty index (MPI). Finally, to identify the determinants of food security binary logistic regression technique was used. The MPI adjudges the aggregate status as 21%, 30.6% in Bajhang, and 14% for Morang. HFIAS tool unveiled that 47% HH were food secure. The disaggregated figure stands as 46% and 48% of households being food secure in Bajhang and Morang districts, respectively. Among the surveyed households, half of the households expressed food insecurity as the greatest concern and the consequential uncertainty ahead. The assessment further found that the Per Capita Income score (p<.01), access to financial institutions (cooperative) (p<0.01), holding livestock (p<.05), and expenditure on food (p<0.01) have a positive relationship in the case of Bajhang household. On the other hand, wage labor (p<0.01) earning members in the village (only for Morang), MPI poor (p<0.05) HHs and abroad migration (p<0.05) (only for Bajhang), ethnic cast Dalit (for both) (p<.05) had a significant negative relationship on household food security.
了解关键决定因素在实现农村家庭粮食不安全方面的作用:以尼泊尔巴扬和莫朗地区为例
粮食不安全是尼泊尔实现其向发展中国家迈进的雄心的最大决定因素之一。为了应对迫在眉睫的国家挑战,本研究试图深入研究该国农村地区的实时调查结果,以了解粮食不安全的关键决定因素。采用Krejcie和Morgan(1970)的方法对502个样本量的家庭(HH)水平调查进行判定。半结构化的HH调查被用来收集被调查者的社会经济地位。家庭粮食不安全获取量表(HFIAS)用于评估HHs的粮食不安全状况,而贫困状况则使用多维贫困指数(MPI)进行评估。最后,利用二元逻辑回归技术识别粮食安全的决定因素。MPI判定的总体状况为21%,巴江30.6%,莫朗14%。HFIAS工具显示47%的家庭是粮食安全的。在巴章县和莫朗县,分别有46%和48%的家庭有粮食保障。在接受调查的家庭中,有一半的家庭表示粮食不安全是最大的担忧,并表示未来将面临随之而来的不确定性。进一步的评估发现,在Bajhang家庭中,人均收入得分(p<0.01)、获得金融机构(合作社)(p<0.01)、饲养牲畜(p< 0.05)和食品支出(p<0.01)呈正相关。另一方面,村里的工资劳动力(p<0.01)、MPI贫困人口(p<0.05)、HHs和国外移民(p<0.05)(仅适用于巴江)、少数民族达利特(p<0.05)(均适用于两者)与家庭粮食安全呈显著负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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